Дарья Черненко | Меню недели 🍏 | Кулинарная школа pinned a photo

Channel
Дарья Черненко | Меню недели 🍏 | Кулинарная школа
@Dasha_Chernenko
On this record: Growth · Engagement · What this channel posts · Reactions · Posts · Posts edited after publishing · Citations · Telegram's recommendations · Cite this entry
91,138subscribers
+746 since we began measuring on 7 August 2026
Risers and fallers across the register · movement among entries of 31,623–100,000.
Register entry
| Telegram ID | -1001644537103 |
|---|---|
| Type | Channel |
| Username | @Dasha_Chernenko |
| Description | Как тратить на кухне минимум 🕑времени 💪🏻сил и 💰денег и при этом всех вкусно и полезно накормить Система Меню недели. 🍳Кулинарная школа Дарьи Черненко. 🍏Мой сайт https://menunedeli.ru/ 🍓Моя Кулинарная школа https://goo.su/anHnimS 4946923672 |
| Created | Between 1 December 2021 and 30 April 2023— estimated from Telegram’s id allocation, not measured. How this range is calculated. |
| First recorded | 7 August 2026 |
| Last confirmed live | 29 August 2026 |
| Measurements held | 20 |
| Confirmed unchanged | 1 time, most recently 29 August 2026 |
| On Telegram | t.me/Dasha_Chernenko |
Growth
| Measured (UTC) | Subscribers | Change |
|---|---|---|
| 29 Aug 2026, 02:04 | 91,138 | -3 |
| 28 Aug 2026, 02:47 | 91,141 | -2 |
| 27 Aug 2026, 01:05 | 91,143 | +8 |
| 26 Aug 2026, 03:49 | 91,135 | -4 |
| 25 Aug 2026, 00:15 | 91,139 | +108 |
| 23 Aug 2026, 11:05 | 91,031 | +193 |
| 21 Aug 2026, 22:39 | 90,838 | +372 |
| 20 Aug 2026, 20:34 | 90,466 | +69 |
| 19 Aug 2026, 21:42 | 90,397 | +83 |
| 18 Aug 2026, 19:14 | 90,314 | -9 |
| 17 Aug 2026, 21:57 | 90,323 | -25 |
| 16 Aug 2026, 18:47 | 90,348 | -9 |
| 14 Aug 2026, 00:29 | 90,357 | +19 |
| 12 Aug 2026, 18:48 | 90,338 | -32 |
| 11 Aug 2026, 16:33 | 90,370 | -25 |
| 10 Aug 2026, 19:17 | 90,395 | +12 |
| 9 Aug 2026, 19:51 | 90,383 | +17 |
| 8 Aug 2026, 17:41 | 90,366 | -16 |
| 7 Aug 2026, 15:44 | 90,382 | -10 |
| 7 Aug 2026, 11:18 | 90,392 | first reading |
Engagement
39 posts held, back to 3 August 2026 — the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 50 pagesof Telegram’s post history, 20 posts per page.
- ERR · 30 days
- 2.66%
- avg views ÷ 91,138 subscribers
- Avg views / post
- 2,420
- 34 posts measured
- Reaction rate
- 1.79%
- reactions ÷ views · ER floor
- Posts in window
- 39
- of 39 held
ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.
ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.
| Window | Rolling 30 days · latest post in window 29 August 2026 |
|---|---|
| Posts held | 39 (3 August 2026 – 29 August 2026) |
| Views total | 82,438 |
| Reactions total | 1,476 |
| Forwards / comments | not exposed by the public surface — not measured, not estimated |
| Readings taken | 29 Aug 2026, 14:25 UTC |
Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.
Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.
Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.
What this channel posts
- Photos
- ≈5,200
- Videos
- ≈1,360
- Links
- ≈2,030
Lifetime counters from Telegram’s own channel header, read 29 August 2026 — not the date at the top of this page, which is when the subscriber count was last read. A count marked ≈ was rounded by Telegram before we ever saw it — t.me prints these counters in full below 1,000 and to three significant figures above, so ≈142,000 means somewhere between 141,500 and 142,499.
- Video runtime
- 16m 27s
- Average length
- 43s
Measured directly from 23 videos with a duration reading, out of the posts we hold for this channel — not this channel’s whole posting history, only the sample this register has actually read. An exact reading to the second, taken from the post itself rather than from Telegram’s own rounded chrome, so it carries no ≈ mark.
Reaction mix
1,476 reactions across 34 posts, in 12 distinct kinds. The most used accounts for 46.7% of them.
| Reaction | Count | Share | Share, drawn |
|---|---|---|---|
| ❤ | 690 | 46.7% | |
| 🔥 | 590 | 40.0% | |
| 👍 | 76 | 5.15% | |
| 👏 | 42 | 2.85% | |
| 😱 | 25 | 1.69% | |
| 😁 | 20 | 1.36% | |
| 🤩 | 9 | 0.61% | |
| ⚡ | 8 | 0.542% | |
| 🍓 | 7 | 0.474% | |
| 🏆 | 5 | 0.339% | |
| 🎉 | 3 | 0.203% | |
| 💯 | 1 | 0.068% |
No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.
Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.
Coverage. Reactions were read on 34 of the 39 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 1,476reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.
Measured over the 39 most recent posts we hold, published 3 August 2026 to 29 August 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.
Recent posts
Меню на неделю из 3 продуктов: кабачки, баклажаны, перцы 🫑🍆🫑 Девочки, помните, показывала вам день, когда я готовлю на неделю? Сейчас мне уже не надо готовить, освободилось много времени. Смонтировала видео, чтобы показать вам итоговый результат. Принцип простой: ❤ 3 основных продукта ❤ 3 блюда из каждого продукта ❤ 3 часа на заготовки ❤ 7 свободных дней в неделю от плиты и тряпки Это не значит, что я совсем не …
❤17👍5🍓1👏1🔥1
Летний обед без плиты: гаспачо за 15 минут☀️ Мои хорошие, когда на улице жара, а стоять у плиты совсем не хочется, этот рецепт – спасение. Холодный, освежающий, с ярким томатным вкусом и ароматом базилика. И готовится без плиты! Смотрите 👆 как всё просто. Ингредиенты на 3 порции: Помидор – 600 г Перец сладкий – 150 г Огурец – 150 г Батон – 100 г Лук красный – 50 г Чеснок – 3 зуб. Базилик – 15 г Масло оливковое – …
❤19👍10🍓1🔥1🤩1
Кулинарный ликбез: тамаринд Девочки, видели когда-нибудь вот такие стручки? Если были в Азии – точно видели. И в Россию последнее время тоже часто завозят. Но мало кто знаком и думает, что это что-то вроде бобовых и не понятно, как есть и что с ними готовить. Это плод дерева. Ботаники меня поправят, что это не фрукт. Но для нас, кулинаров, если растет на дереве и сладкое – то или фрукт, или ягода. Самый вкусные …
❤34👍7🔥3
8 недорогих помощников, которые экономят время на кухне 🤩 Мои хорошие, иногда время на кухне экономит не новая техника за десятки тысяч, а маленькая вещь, которая снимает одно раздражающее действие. Не отбивать мясо по десять минут. Не нарезать вручную гору овощей. Не возиться с фольгой, которая опять склеилась. Не искать способ аккуратно распределить соус. Собрала 8 недорогих кухонных помощников, которые могут уп…
❤67🔥12
Дарья Черненко | Меню недели 🍏 | Кулинарная школа pinned Deleted message
Девочки, делюсь рецептом самого вкусного яблочного варенья. 🍎 Представьте: за окном ноябрьский дождь или февральская метель. Завариваешь горячий чай, открываешь баночку — а там в прозрачном сиропе сияют янтарные яблочные дольки ✨ Чтобы яблоки не превратились в пюре, варить их будем бережно: несколько раз по 5 минут, каждый раз давая полностью остыть и напитаться сиропом. В карточках показала весь процесс — Сохраня…
❤57🔥21👍10
🍏Что почитать в канале Мои хорошие, собрала для вас подборку полезных постов за 2 недели. 🥘10 идей быстрых ужинов из 1 заготовки курицы → Скачать карту блюд 🍆Сезонные заготовки и блюда из баклажан → Какие сорта для каких блюд подходят → Подборка рецептов из баклажанов — выбирайте, что приготовить, пока сезон в самом разгаре 🛒 Цены на продукты. Контрольная закупка → смотрим цены в Москве → заглядываем в магазин…
❤20
Дарья Черненко | Меню недели 🍏 | Кулинарная школа pinned a photo
8 заготовок из огурцов, на любой вкус 🥒 Девочки, сохраняйте чтобы не потерять. Одни поставить вечером и уже завтра достать из холодильника. Другим дать несколько дней на ферментацию. Третьи закатать и забыть о них до зимы. Собрала для вас большую огуречную шпаргалку 👆 🥒 Хочу уже завтра ➡️ малосольные 🥒 Хочу необычно ➡️ минералка / кимчи 🥒 Люблю бочковой кисленький вкус ➡️ квашеные 🥒 Нужна классика на зиму ➡️…
❤37🔥34👍19
21 августа в 12:00 и в 19:00 — тот самый эфир по су-виду 🎉 Мои хорошие, посмотрите на эту рыбку 👆 С су-видом такой результат — не история про «стоять у плиты и ловить момент». И именно сегодня на вебинаре мы ✔️покажем, как превратить су-вид не просто в способ приготовить мясо или рыбу, а в систему, которая освобождает ваши вечера от кухни ✔️расскажем, как делать заготовки, что потом собирать из них за 10–15 мину…
❤12🔥7
Как су-вид освобождает ваши вечера от кухни Девочки, уже завтра в 19.00 мск мы с вами встречаемся на вебинаре-презентации по су-виду. Ссылка на вход придет только если вы регистрировались. 👉 Получить билет Мы с шеф-поваром Евгением Бардуком расскажем: ✔️ Как с су-видом выстроить понятную систему готовки, когда ужин на столе через 15 минут ✔️ Как из заготовок собирать блюда, как конструктор ✔️ Как готовить рест…
🔥12❤6
Showing the 12 most recent of 39 posts we hold for @Dasha_Chernenko. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked ≈ was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.
Posts edited after publishing
@Dasha_Chernenko edited 3 posts after it first published — the same permalink now carries different wording than the one this register originally read, caught because our own crawl held a copy of the earlier text.
An edit is not deception. Typo fixes, price updates and corrections look exactly like this too — this register can tell you the wording changed and when, not why. How this is measured.
- First edit seen
- 21 August 2026
- Most recent edit
- 29 August 2026
Citation-graph rank
Citation-graph rank — 1,429,396 of 1,625,954entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.
Forward network
Republished by
Channels on the register that have forwarded this channel's posts into their own feed.
Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.
Mentions
Names
Channels on the register whose handles appear in this channel's posts.
A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.
Channels Telegram recommends alongside this one
Telegram’s own answer, not this register’s.When this register asks Telegram’s API what is similar to this channel, this is the list it returns, in the exact order Telegram returns it — never re-sorted by subscribers or by anything else this register measures. The relationship, and the order, are Telegram’s; we record them and date them, and make no claim of our own about which of these channels actually resemble this one.
@shelusha_food · 326,840#1
@daryashkola1 · 4,866#2
@min2ru · 535,947#3
@megamama17 · 22,191#4
@glavnoe_menu · 3,618#5
@krugodom · 10,446#6
@flyvitebsk · 6,719#7
@katu_troitskaya13 · 15,709#8
@k_pustovaya · 7,413#9
@zdorovoe_pokolenye_rf · 2,861#10
@kulinar_leniviy · 124,941#11
@svetlanakortukovaSK · 951#12
@the_ksusha_foodblog · 150,966#13
@schiborschi · 8,098#14
@poryadoktime · 25,926#15
@xlebtartin · 6,672#16
@Marys_stories · 31,699#17
@reorganizeru · 6,977#18
@how2plan · 1,201#19
@IrinaSokovih · 6,849#20
@fermentinwonderland · 3,240#21
@shkola_dietologov · 20,579#22
@letolabfood · 7,499#23
@prosto_o_vkusno · 37,176#24
@dietologmelekhina · 2,671#25
@mb_cook · 9,785#26
@montessori_children · 36,231#27
@health_standard · 1,434#28
@doc_kadyrleeva · 12,216#29
@pp_menu_sbornik · 11,451#30
@recept_menunedeli · 445#31
@elena_goodfood · 33,404#32
@kamitova_pro · 1,386#33
@marysrecipesapp · 4,540#34
@mukaonika · 2,936 (as read 17 August 2026)#35
@cook_21 · 12,223#36
@doctor_dubinina · 12,677#37
@kriozerova · 27,278#38
@ksu_family_tk · 68,294#39
@desertomania_pp · 2,010#40
@letstrojnee · 1,981#41
@zagotovki_welldone · 31,564#42
@Katerinalengold · 71,728#43
@valentinapaevskaya · 231,601#44
@muzhitskaya · 164,803#45
@shamilahmadullin · 179,756#46
@scenariistoris · 22,914#47
@cases_welldone · 5,271#48
@domvradost_academy · 3,097#49
@easy_steps · 652#50
@aidaprodom · 309,438#51
@sve_flymama · 43,830#52
@healthscience_club · 591#53
@skrebeykoru · 6,377#54
@aromacoach · 22,571#55
@irovalife · 106,946#56
@reforma_life · 3,974#57
@sladko_nezhik_school · 7,980#58
@kuxa_yuliya · 93,766#59
@dacha_mm · 2,404#60
@isaevamarina22 · 5,268#61
@Homebakery42 · 25,003#62
@Lt_recommend · 19,567#63
@endo_doc1 · 9,738#64
@katya_medushkina_fit · 40,318#65
@janelip_art · 1,496#66
@pro_finansy_kids · 63,779#67
@DoctorPurgina · 8,844#68
@smm_kontent · 544#69
@school_sve_flymama · 1,934#70
@saislamova · 76,369#71
@jnegovorova · 3,034#72
@zdravomislievede · 31,199#73
@dve_zlodeyki · 6,533#74
@pro_womanhealthy · 7,230#75
@BIOMEHANICA · 32,415#76
@FitKatiki · 55,424#77
@lizamoka · 12,749#78
@Insituteofhealth · 12,202#79
@ps_puresense · 2,187#80
@ipnnexpert · 2,185#81
@BestGryadka · 94,719#82
@cake_it_club · 9,762#83
@marketing_lichnosti · 1,297#84
@polnij_poryadok · 3,494#85
@PP_transformaciya · 20,063#86
@profinansy · 580,661#87
@psychologykaterina · 997#88
@mariya_evseenko · 325#89
@diafi1m · 5,292#90
Read from Telegram’s recommendation API, most recently 17 August 2026. Telegram holds a list like this for a small and growing share of the register — how this is measured, and why most channel pages show nothing here.
Appears in Telegram’s recommendations for other channels
The reverse of the list above, and a different kind of signal. This does not require this channel to have ever been asked about directly — each row below is a channel we DID ask Telegram about, whose Telegram-generated list happened to include this one. A channel can appear here with an empty list above it, because being named by someone else’s query is independent of having been queried itself.
@shelusha_food · 326,840
Telegram ranks this channel #5 of 82 here — alongside 81 others — read 10 August 2026
@kulinar_leniviy · 124,941
Telegram ranks this channel #18 of 82 here — alongside 81 others — read 13 August 2026
@min2ru · 535,947
Telegram ranks this channel #20 of 83 here — alongside 82 others — read 11 August 2026
@kuxa_yuliya · 93,766
Telegram ranks this channel #21 of 62 here — alongside 61 others — read 16 August 2026
@irovalife · 106,946
Telegram ranks this channel #22 of 74 here — alongside 73 others — read 15 August 2026
@saislamova · 76,369
Telegram ranks this channel #29 of 67 here — alongside 66 others — read 19 August 2026
@sve_flymama · 43,830
Telegram ranks this channel #55 of 89 here — alongside 88 others — read 28 August 2026
This channel appears in 7 seed channels' Telegram-generated recommendation lists in total. Each is Telegram’s list for THAT channel, not this one — see how this is measured.
Cite this entry
A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 29 August 2026 — this entry's latest reading, not the date you are reading this.
“Дарья Черненко | Меню недели 🍏 | Кулинарная школа” (@Dasha_Chernenko), 91,138 subscribers as measured 29 August 2026. Telegram Register, tgregister.com/channel/Dasha_Chernenko.
Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.